--- language: en license: apache-2.0 tags: - text-classification - education - taxonomy - dave-psychomotor - learning-objectives - motor-skills datasets: - custom metrics: - accuracy - f1 widget: - text: "Students will observe and replicate the proper hand positioning during violin lessons" example_title: "Imitation Example" - text: "Learners will perform the CPR procedure following the training manual guidelines" example_title: "Manipulation Example" - text: "Nurses will accurately draw 5mL of medication into a syringe with 0.1mL precision" example_title: "Precision Example" - text: "Physical therapists will coordinate breathing patterns with stride rhythm" example_title: "Articulation Example" - text: "Expert surgeons will intuitively navigate complex anatomical structures" example_title: "Naturalization Example" pipeline_tag: text-classification --- # Dave's Psychomotor Taxonomy Classifier ## Model Description This model classifies educational learning objectives according to **R.H. Dave's Psychomotor Domain Taxonomy** (1970), which categorizes motor skills and physical abilities into five progressive levels. ### Taxonomy Levels - **Level 0: Imitation** - Observing and copying actions of others - **Level 1: Manipulation** - Performing actions according to instructions - **Level 2: Precision** - Skills executed with accuracy and control - **Level 3: Articulation** - Coordinating multiple skills and adapting - **Level 4: Naturalization** - Automated, unconscious mastery ## Model Details - **Model Type**: BERT-based sequence classification - **Base Model**: `bert-base-uncased` - **Fine-tuned on**: Custom dataset of psychomotor learning objectives - **Language**: English - **License**: Apache 2.0 ## Training Data - **Dataset Size**: 298 learning objectives - **Balance**: ~60 examples per level - **Domains**: Medical/Healthcare, Sports, Performing Arts, Skilled Trades, Technology, Culinary Arts, Manufacturing, Emergency Services, Laboratory Sciences, Fine Arts ## Usage